Executive | Machine learning, Artificial Intelligence | Bengaluru | TTC - DOMESTIC

Executive | Machine learning, Artificial Intelligence | Bengaluru | TTC - DOMESTIC Job requisition ID : 103338 Location : Bengaluru Entity : Deloitte Touche Tohmatsu India LLP Job Title: Data Science C/SC/M Location: Hyderabad / Kolkata / Bengaluru Job Type: Full-time Experience: 2-8 years in AI and Machine Learning Responsibilities: Collaborate with cross-functional teams to translate business requirements into actual implementation of models, algorithms, and technologies. Execute the product road map and planning of the programs and initiatives as defined by the product owners. Independently solve complex business problems with minimal supervision, while escalating more complex issues to appropriate next level. Develop and maintain software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate data sets. Build and optimize pipelines for data intake, validation, and mining as well as modelling and visualization by applying best practices to the engineering of large data sets. Develop and implement advanced machine learning algorithms and models for various applications. Apply the latest advances in deep learning, machine learning and natural language processing to improve performance of legacy models. Customize latest available large language models to develop generative AI solutions for multiple business problems across multiple functional areas. Apply A/B testing framework and test model quality. Experience in taking the models to Production using Cloud Technologies Provide findings and analysis to take informed business decisions. Stay updated with the latest developments in AI/ML technologies and contribute to the continuous improvement of our systems. Requirements: Minimum of 3-7 years of relevant work experience. Master's degree in a related field (Statistics, Mathematics or Computer Science) or MBA in Data Science/AI/Analytics Experience with database systems such as MySQL, PostgreSQL, or MongoDB. Experience in collecting and manipulating structured and unstructured data from multiple data systems (on-premises, cloud-based data sources, APIs, etc) Familiarity with version control systems, preferably Git. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Solid understanding of data structures, algorithms, and distributed computing. Excellent knowledge of Jupyter Notebooks for experimentation and prototyping. Strong programming skills in Python. In-depth understanding of machine learning, deep learning & natural language processing (NLP) algorithms. Experience with popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Knowledge of containerization tools such as Docker. Experience in deploying machine learning models in production environments. Excellent problem-solving and communication skills. Proficient in using data visualization tools such as Tableau or Matplotlib, or dashboarding packages like Flask, Streamlit. Good working knowledge of MS PowerPoint and storyboarding skills to translate mathematical results to business insights.